Implementation of haptic communication in comanipulative tasks: a statistical state machine model
Lucas Roche (ISIR), Ludovic Saint-Bauzel (ISIR)

TL;DR
This study investigates physical human-human communication in lightweight tasks using a robotized setup, proposing a statistical state machine model based on time correlation, which closely mimics human performance.
Contribution
It introduces a novel statistical state machine model for physical human-human communication based on time, validated through experiments with 14 subjects.
Findings
Model closely replicates human-human communication performance
Time-based communication hypothesis supported by experimental data
Potential applications in human-robot interaction systems
Abstract
- This paper presents an experimental evaluation of physical human-human interaction in lightweight condition using a one degree of freedom robotized setup. It explores possible origins of Physical Human-Human communication, more precisely, the hypothesis of a time based communication. To explore if the communication is correlated to time a statistical state machine model based on physical Human-Human interaction is proposed. The model is tested with 14 subjects and presents results that are close to human-human performances.
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Taxonomy
TopicsAction Observation and Synchronization · Robot Manipulation and Learning · Embodied and Extended Cognition
